A hybrid multi criteria decision making approach for consultant selection problem in ERP project

Author(s):  
Shwetank Avikal ◽  
Mukesh Nigam ◽  
Mangey Ram
2014 ◽  
Vol 951 ◽  
pp. 120-123
Author(s):  
Wei Fan Huang

Material selection problem becomes an important issue in the material science field. It is important for design for mechanical, electrical, thermal, chemical et al. There are several influencing factors in the material selection process, and thus material selection problem is a multi-criteria decision making (MCDM) problem. Relative entropy measure can depict the closeness of the two systems, and then this paper will use it to develop an improved TOPSIS method for the material selection problem. Finally, a practical example is given to demonstrate that the proposed method is effective and feasible.


2020 ◽  
Vol 7 (12) ◽  
pp. 133-143
Author(s):  
Şeyma Emeç ◽  
Gökay Akkaya

The problem of a warehouse location selecting which has a significant impact on logistics costs is an important decision problem based on the best choice of alternatives under multiple conflicting criteria. Multiple-criteria decision-making (MCDM) methods are used as a solution approach for the decision problems including several criteria. In this study, a new stochastic multi-criteria decision-making approach has been developed to solve the warehouse location selection problem (WLSP) in the stochastic environment which contains uncertain situations. In the proposed approach, the SAHP (Stochastic Analytic Hierarchy Process) method was used to calculate the weight of criteria, and the alternatives were ranked and evaluated by fuzzy MOORA (Multi-Objective Optimization by Ratio Analysis). The proposed approach is applied to warehouse selection problem of a supermarket chain located in Turkey. The results of the research indicated that A2 is the best alternative. It can be said that the proposed method can be applied to the real life problems because it found a suitable solution to the problem.


Author(s):  
Rakesh D. Raut ◽  
Balkrishna E. Narkhede ◽  
Bhaskar B. Gardas ◽  
Vaijayanti Raut

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